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Computers and Concrete Volume 10, Number 1, June 2012 , pages 49-57 DOI: https://doi.org/10.12989/cac.2012.10.1.049 |
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Modeling the compressive strength of cement mortar nano-composites |
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Reza Alavi and Hamed Mirzadeh
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| Abstract | ||
| Nano-particle-reinforced cement mortars have been the basis of research in recent years and a significant growth is expected in the future. Therefore, optimization and quantification of the effect of processing parameters and mixture ingredients on the performance of cement mortars are quite important. In this work, the effects of nano-silica, water/binder ratio, sand/binder ratio and aging (curing) time on the compressive strength of cement mortars were modeled by means of artificial neural network (ANN). The developed model can be conveniently used as a rough estimate at the stage of mix design in order to produce high quality and economical cement mortars. | ||
| Key Words | ||
| cement mortar; nano particle; computer modeling; compressive strength; artificial neural networks; curing. | ||
| Address | ||
| Reza Alavi: Doust Construction Engineering Group Co., Isfahan 81736-95716, Iran Hamed Mirzadeh: Department of Materials Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran | ||